How to orchestrate multiple AI models from different providers in a single automated workflow

How to orchestrate multiple AI models from different providers in a single automated workflow

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Strand

Strands Agents is an open-source framework for building production-ready multi-agent AI systems with native AWS integrations and model-agnostic orchestration. It helps engineering teams rapidly deploy secure, scalable agentic workflows across Bedrock, Anthropic, OpenAI, and local models.

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What to expect from an ideal product

  1. Strands Agents connects to multiple AI providers like AWS Bedrock, Anthropic, and OpenAI through a single interface, so you don't need separate integrations for each service
  2. The framework handles model switching automatically within your workflows, letting you use GPT-4 for one task and Claude for another without manual configuration changes
  3. Built-in orchestration manages the handoffs between different AI models, ensuring data flows smoothly from one provider's output to another's input
  4. Native AWS integrations provide secure credential management and scaling, so you can run multi-provider workflows in production without security headaches
  5. The open-source architecture lets you add custom model endpoints or local models alongside cloud providers, giving you flexibility to mix and match based on cost and performance needs

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